MediaRadar Logo

MediaRadar

Data Governance Analyst

Posted 15 Days Ago
Remote
Hiring Remotely in India
Mid level
Remote
Hiring Remotely in India
Mid level
Maintain and operationalize the companys data governance artifacts: author and version taxonomies, business glossary terms, and data rules; detect and resolve rule conflicts and gaps; manage metadata and change history; support intake and certification of reference data; produce documentation and governance reporting to ensure rules are usable in production classification and quality workflows.
The summary above was generated by AI

About MediaRadar

MediaRadar, equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media spend, creative assets and brand messaging across 30+ media channels and five million brands.

With deep insights into more than 35 million ad and campaign assets and $280 billion in media spend, MediaRadar provides a single, interoperable source of truth that plugs seamlessly into enterprise analytics and AI systems. The result: faster, cleaner and more actionable intelligence that drives competitive advantage. 

Job Summary

We are seeking a detail-oriented Data Governance Analyst to support the day-to-day execution of our taxonomy, rules, and reference data framework. This role turns governance standards into working artifacts — authoring and maintaining taxonomies, business term definitions, and data rules in our governance platform, and keeping them accurate, consistent, and free of conflict as the organization scales.

You will be the hands-on engine behind the governance function, working closely with the Senior Data Governance Lead, Data Operations, and the Reference Data team to maintain the rule and taxonomy libraries that drive classification and data quality. This is a high-ownership, execution-focused role for someone who values structure and precision and wants to see governance standards actually used in production rather than living only as documentation.


Requirements

Responsibilities

  • Author, maintain, and version taxonomies, business term definitions, and classification hierarchies in the governance platform.
  • Translate approved governance decisions into structured, testable data rules and apply rule IDs consistently across taxonomies.
  • Run routine rule-library analysis to detect duplicates, conflicts, and coverage gaps, and prepare findings for governance review.
  • Maintain metadata, documentation, and change history so definitions and rules remain traceable and auditable.
  • Support intake and triage of new rule and definition requests from Data Operations and business stakeholders.
  • Prepare reference data and golden-record candidates for governance certification, flagging anomalies and exceptions.
  • Produce clear documentation and quick-reference guides that help stewards and analysts apply standards independently.
  • Assist in preparing governance reporting, dashboards, and stakeholder updates.

Success in this role will be measured by:

  • Rule & Taxonomy Integrity – Low and declining rates of duplicate, conflicting, or orphaned rules and definitions.
  • Coverage – Measurable progress against taxonomy and reference data coverage targets across tiers.
  • Turnaround – Timely, accurate processing of rule and definition requests within agreed SLAs.
  • Traceability – Complete, auditable change history and documentation for governed artifacts.
  • Usability – Stewards and analysts can apply standards from documentation without repeated escalation.
  • Operationalization – Authored rules and definitions are actively used in classification and quality workflows.

Key Qualifications and Role Requirements

  • 2–5 years of experience in data governance, data management, data quality, analytics, or data operations.
  • Hands-on experience maintaining taxonomies, controlled vocabularies, business glossaries, or rule libraries.
  • Strong attention to detail and comfort working with structured data, spreadsheets, and governance tooling.
  • Ability to translate governance decisions into precise, consistent, testable rules.
  • Comfort with ambiguity and evolving standards in a maturing governance environment.
  • Familiarity with data quality dimensions (accuracy, completeness, consistency, timeliness).
  • Exposure to DAMA / DMBOK concepts a plus.
  • Clear written and verbal communication skills.

Benefits

At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.

In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization. A final compensation offer will ultimately be based on the candidate's location, skill level and experience, and the Company's pay equity.

We are also committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at [email protected].

We’re excited to meet people who share our values and want to build the future with us.

Similar Jobs

An Hour Ago
Easy Apply
Remote
India
Easy Apply
Senior level
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.
Top Skills: Ai AgentsLlmsMySQLPostgresReactRetrieval-Augmented Generation (Rag)Ruby On Rails
3 Hours Ago
Remote
Gujarat, IND
Mid level
Mid level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop and maintain manufacturing process specifications, monitor process performance, lead root-cause analysis and continuous improvement, provide technical support and training, ensure safety and regulatory compliance, and apply data-driven and AI-enabled tools to optimize semiconductor manufacturing processes.
Top Skills: Advanced Process Control (Apc)Ai-Assisted AnalyticsAutomation ToolsData Analysis ToolsProcess SimulationSix SigmaStatistical Process Control (Spc)
3 Hours Ago
Remote
Gujarat, IND
Junior
Junior
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Support NPI and high-volume test manufacturing: investigate yield and program bugs, qualify FOAK hardware, support legacy devices and rescreen programs, track test time and retest ratios, analyze test results (using AI), support AMHS/logistics, lead production test operations, and apply 8D/problem-solving to improve yield, cost, reliability and test throughput.
Top Skills: AIAmhsAteCC++GemsGpibIsLinuxSecUnix

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account